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With academics from six universities spanning from materials engineering through data science to economics, corporate strategy and policy and an industry consortium spanning from mining through construction and manufacturing to final ... Read more at:

Candidates should have a PhD (submitted or nearly submitted at the time of application) in a field relevant to transport/urban planning, urban/regional economics, urban data sciences and systems engineering. ... Experience of transport modelling,

Our collective effort aims to address important issues around law, ethics and economics, in order to apply data science to solve challenging problems for society. ... C2D3 encourages knowledge sharing and teaching across the University, and frequently

Background. I have a mixed background in financial economics and data science. ... My primary research interest lies in the intersection of approximate inference and parametric machine learning, with a focus on specification efficiency and other

He is Full Professor of Economics at the Institute of Economics, Pro-Rector for International Relations, and Associate Scientific Coordinator of the EMbeDS (Economics and Management in the Era of Data ... and Rossetti, G. (2022) “Venture capital

Turnbull, J. 2022. ‘Making Sense of Nature in the Chornobyl Exclusion Zone With Dogs and Wolves’, Chernobyl as a Historical Causera: Environment, Politics, and Science, Naples, Italy. ... Parker, N., Turnbull, J. and Searle, A. 2022. ‘Feminist

The Engineering and Science Admissions Test (ESAT) will be used for degree programmes in Engineering, Natural Sciences, Chemical Engineering and Biotechnology, and Veterinary Medicine at Cambridge, and Physics and most Engineering ... The Test of

A fourth workshop (co-sponsored by the ESRC Centre for Microdata Methods and Practice) addressed the interface between economics and computer science regarding privacy. ... The programme themes fall within the field of ‘data science’ and the

Computer Science. Cosmology. Criminology. Data-driven stochastic processes, science policies. Development Economics. ... Earth Sciences. Economics. Economics and Policy. Education. Education, Migration and Mobilities.

language processing, network science, and machine learning methods. ... His interests focus on computational methods for social science research and the intersection of data science and public policy.